Transcription of Level 3 Comp Probability - Glasgow Caledonian University
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Level 3 Comp Probability - Glasgow Caledonian University
1 Probability and Probability Distributions 1. Introduction 2. Probability 3. Basic rules of Probability 4. Complementary events 5. Addition Law for Compound Events: A or B 6. Multiplication Law for Compound Events: A and B 7. Bayes Theorem 8. Tree Diagrams 9. Problems on Probability 10. Probability Distributions 11. Discrete Probability Distributions 12. The Expected value and Variance of a Discrete Probability Distribution 13. The Binomial Distribution 14. The Poisson Distribution 15. Continuous Probability Distributions 16. The Normal Distribution 17. Using Statistical Tables to Calculate Normal Probabilities 18. Worked Examples on the Normal Distribution 19. Problems on the Standard Normal Distribution 20.
individual, e.g. heights of university students. It is commonly denoted by a symbol such as x. There are two types of random variable: qualitative and quantitative. Qualitative Variables These variables cannot be determ ined numerically and are usually measured categorically. Examples include hair colour, blood group, marital status, gender.
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